The course begins by exploring market basket analysis, which is an algorithm originally designed to help retailers understand and improve their businesses. Market basket analysis unlocks the underlying relationships between the items that customers purchase. By the end of this course, you should have a solid grasp of transaction data, the basic metrics that define the relationship between two items, the Apriori algorithm, and associations rules.
Previous experience of using Python is required. Prior knowledge of machine learning is not necessary. It's assumed that the learner is aware of the basic mathematical notations and has worked with arrays and dataframes in Python.